AI Exam Question Paper Generator
Gayatri Hene
Computer Science and Engineering MIT SOC, MIT ADTU
Pune, India gayatrihene1@gmail.com
Amaan Bagwan
Computer Science and Engineering MIT SOC, MIT ADTU
Pune, India
Deepak Jangid
Computer Science and engineering MIT SOC, MIT ADTU
Pune, India d.jjangid2002@gmail.com
Megha Wankhade
Computer Science and Engineering MIT SOC, MIT ADTU
Pune, India
Abhishek Kamthe
Computer Science and Engineering MIT SOC, MIT ADTU
Pune, India
abhishek47kamthe@gmail.com
Abstract— The manual preparation of examination question papers is a repetitive, time-consuming, and error-prone process for educators. To overcome these challenges, the AI Exam Question Paper Generator has been developed to automate and optimize the question paper creation process using Artificial Intelligence (AI) and Natural Language Processing (NLP)techniques. The system allows teachers to input subjects, topics, and difficulty levels, after which the AI model intelligently generates or selects suitable questions from a pre-existing question bank.
Transformer-based models such as BERT and T5 are employed for understanding and generating contextually appropriate questions [1][2]. Additionally, Machine Learning (ML) algorithms are utilized to classify questions into various difficulty levels, ensuring balanced paper composition and topic coverage [6]. The system reduces redundancy, minimizes human intervention, and enhances accuracy in exam paper generation. It also allows educators to export question papers in printable formats such as PDF or Word, ensuring convenience and usability.
Overall, this project demonstrates how AI and NLP technologies can streamline the examination process, save time, and ensure fairness and consistency in educational assessments [7].
Keywords— Artificial Intelligence, Question Paper Generation, Natural Language Processing (NLP), Machine Learning, Automated Assessment, Question Bank, Difficulty Level Classification, Educational Technology, Exam Automation, Paper Generation System
